pump asset operation
TRANSCRIPT
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Pump Asset Operation andPerformance MonitoringOver the Internet
Karl J Darbyshire
Geoff Waterworth
Dave Webb
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Introduction
Throughout the water industry many methodologies havebeen adopted to enable significant energy cost reductionincurred by Water Pumping Station (WPS)
Refurbishing worn equipment.
Using highly efficient motors. Employing the most efficient pumps. Ensuring water is pumped through the smallest hydraulic head.
Using internet technologies, power, flow and pressureproduced by individual pumps can be monitored over the
Internet, allowing pump operators to remotely selectefficient pump combinations.
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Objective
Provide a cost effective method of pumpasset operation and performance
monitoring over the Internet
To provide hydraulic engineers with securereal-time pump characteristics.
Monitor characteristics of individual pumpsevery fifteen-minutes over the internet.
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Structure
The presentation is segregated into four keyareas:
Water Supply System. Pump Modelling. Web Technologies. Results. Conclusion.
Further Work.
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Water Supply System
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Process Schematic
Chemical Treatment
Low Lift Pumps
Gravity Filters
River
Clean Water
Pumping Station
Water Supply System
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High-Lift Pumps
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High-Lift Pumps cont.
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Water Supply System
Water Supply System
Clean
Water
Bypass Valve
P1
P5
High Lift Water Pump
Station Consisting of 5
Fixed Speed Pumps
Extracts Clean Water
from Nearby Storage Tank
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Water Supply System
RTU
Data
Data
Analysis
Data
Validation
DataStorage
P1
P5
P2
P3
P4
WPS SCADA
Data Transfer Using
RTU (Out stations)
Micro-Controller
Processors log pump
parameters flow, power
and pressure on the
delivery side of the pump
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Pump Modeling
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Pump Modelling
H = Delivery Head (m)
Q = Flow (m3/s)
P = Power (kW) = Efficiency
g = Gravity (m/s2) = Density of Fluid (kg/m3)
QHgP
Pump Modeling
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Web Technologies
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Java Server Pages (JSP)
JSP is a web scripting technology similar to Microsoft
Active Server Pages (ASP) and Netscape Server Side
Java Script (SSJS)
JSP is a presentation / representation layerenabling users to mix static HTML content with
server side scripting to produce a dynamic output.
JDBC allows the user to interact with the
remote database, which is isolated on the serverside, through SQL statements.
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2-tier Client/Server
JDBC
Database
Client Server
Beans
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Results
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Results
The results illustrate that the web server canremotely accessed pump characteristics to eitherlog, view or delete pump data.
Operating pumps at their maximum efficiency,potential energy cost reductions are achievable.
The stored data may be used in the development ofa sophisticated scheduling scheme or to providehistorical information for water demand prediction.
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Pump Data Selection GUI
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MYSQL Server Entries
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Request Table Data
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Pump Modelling
Pump efficiency curves have beenderived to enable pump engineers toidentify inefficient pumps andshortfalls.
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Pump Modelling
0 100 200 300 400 500 6000
20
40
60
80
100Pump Curve Characteristics
Volume Flow (Q cubic m/hr)DeliveryHead(Hm)&PumpEfficiency(n%)
WPS1:
88.3 % Efficiency @325 m/hr
74.1 psi Head Pressure @325 m/hr
H v Q
0 100 200 300 400 500 600100
150
200
250
300
350
Volume Flow (Q cubic m/hr)
PowerReq
uirment(PkW)
WPS1:
267.2 kW @325 m/hr
P v Q
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Conclusion
A cost effective method of pump assetoperation and performance monitoring overthe Internet.
The combined web methodologies of Java,JSP and SQL technologies provide anefficient and accurate process of secure
remote logging of pump data.
Conclusion
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Next Logical Step
Adaptive System- Decision support system
Pump Scheduling.
Equal Pump Combinations to ensure even wear.
Demand Prediction.
Intelligent software to forecast consumer demand.
Further Work
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Decision Support System
Alarms
Pumps
Available
Pump
CharacteristicsRequired
FlowData
ValidationPump
Scheduling
Demand
Predictor Archive
Pump
Trends
ManualPrediction
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Questions ?